2018 Proceeding- Program Chairs:
- Sean Bechhofer,
- George Fazekas,
- Kevin Page
Music provides a fascinating and challenging field for the application of Semantic Web technologies. Music is culture. Yet as knowledge, music takes fundamentally different forms: as digital audio waveforms recording a performance (e.g. MP3); symbolic notation prescribing a work (scores, Music Encoding Initiative); instructions for synthesising or manipulating sounds (MIDI, Digital Audio Workstations); catalogues of performance or thematic aggregations (playlists, setlists); psychological responses to listening; and as an experienced and interpretable art form. How can these heterogeneous structures be linked to each other? To what end? How do we study these materials? Can computational and knowledge management analyses yield insight within and across musics? Semantic Web technologies have been applied to these challenges -- across industry, memory institutions and academia -- but with results reported to conferences representing the communities of different disciplines of musical study.
Proceeding Downloads
Cultural Heritage Documentation and Exploration of Live Music Events with Linked Data
We refine and unify our previous data model for describing and linking live music artefacts. In our model, physical and digital artefacts and recordings are treated as forms of cultural heritage which can all be aligned and distributed along the same ...
A Music Theory Ontology
Many existing music ontologies have focused on expressing metadata related to performances or recordings, aiding with recommendations of songs or artists, and studying the psychological affects of music. These music ontologies provide a foundation for ...
The Software Defined Media Ontology for Music Events
- Ray Atarashi,
- Takuro Sone,
- Yu Komohara,
- Manabu Tsukada,
- Takashi Kasuya,
- Hiraku Okumura,
- Masahiro Ikeda,
- Hiroshi Esaki
With the advent of viewing services based on the Internet, the importance of object-based viewing services for interpreting objects existing in space and utilizing them as content is increasing. Since 2014, the Software Defined Media Consortium has been ...
The Semantic Web MIDI Tape: An Interface for Interlinking MIDI and Context Metadata
The Linked Data paradigm has been used to publish a large number of musical datasets and ontologies on the Semantic Web, such as MusicBrainz, AcousticBrainz, and the Music Ontology. Recently, the MIDI Linked Data Cloud has been added to these datasets, ...
Music SOFA: An architecture for semantically informed recomposition of Digital Music Objects
We describe the design and implementation of a semantic music system which illustrates the assembly of a music composition using semantically annotated music fragments. The system, which we call SOFA (SOFA Ontological Fragment Assembler), demonstrates ...
Swinging Triples: Bridging Jazz Performance Datasets using Linked Data
The jazz performance metadata prototype JazzCats:Jazz Collection of Aggregated Triples uses Linked Data to bridge four discrete jazz music datasets: Linked Jazz, with prosopographical and interpersonal information about musicians; the Weimar Jazz ...
Playsound.space: enhancing a live music performance tool with semantic recommendations
Playsound is a simple and intuitive web-based tool for music composition based on sounds from Freesound, an online repository of diverse audio content with Creative Commons licenses. In this paper, we present an approach based on Semantic Web ...
Interaction Perspectives for Music Notation Applications
In this paper, we present new perspectives arising from the development of the rich music notation encoding scheme of the Music Encoding Initiative (MEI) together with the development of the open source engraving tool Verovio. The tool distinguishes ...
- Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music
Recommendations
Music Key Detection for Musical Audio
MMM '05: Proceedings of the 11th International Multimedia Modelling ConferenceThe key or the scale information of a piece of music provides important clues on its high level musical content, like harmonic and melodic context, which can be useful for music classification, retrieval or further content analysis. Researchers have ...
Melody Transcription From Music Audio: Approaches and Evaluation
Although the process of analyzing an audio recording of a music performance is complex and difficult even for a human listener, there are limited forms of information that may be tractably extracted and yet still enable interesting applications. We ...